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IoT

OEE Monitoring System

Software EngineerArduino Soft Co. LTD07/2018 — 08/2019

Key Highlights

  • IoT sensor integration with web dashboard
  • Real-time OEE score calculation
  • 10% revenue increase from efficiency insights
  • 20% reduction in development time
JavaScriptNode.jsIoTSensorsC/C++

OEE Monitoring System

Overview

Built an Overall Equipment Efficiency (OEE) system that combines IoT sensors with a web application to provide real-time monitoring of machine performance and efficiency in manufacturing environments.

How It Works

Sensor Layer

  • Electronic sensors attached to manufacturing machines capture:
  • - Machine run/stop status

    - Production counts

    - Cycle times

    - Temperature and vibration data

    Data Pipeline

  • Sensor data transmitted to backend via serial/network protocols
  • Real-time data processing and aggregation
  • Predefined value sets used as benchmarks for efficiency calculations
  • Web Dashboard

  • Live OEE scores (Availability x Performance x Quality)
  • Machine-by-machine breakdown
  • Historical trend analysis
  • Shift-based reporting
  • Downtime categorization and Pareto analysis
  • OEE Calculation

    OEE = Availability × Performance × Quality

  • Availability: Actual run time vs planned production time
  • Performance: Actual speed vs designed speed
  • Quality: Good parts vs total parts produced
  • Impact

  • Real-time visibility into manufacturing efficiency
  • Data-driven decision making for maintenance scheduling
  • Contributed to 10% revenue increase through identified inefficiencies
  • 20% reduction in development time through requirements collaboration